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Deep Bayesian Bandits: Exploring in Online Personalized Recommendations


Aug 03, 2020
Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani


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Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems


Jul 28, 2020
Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi

* Paper is accepted to RecSys 2020 

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Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline


Apr 28, 2020
Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fon, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael Bronstein, Amra Delić, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

* 10 pages, 2 tables 

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Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction


Jul 15, 2019
Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi

* Accepted at RecSys '19 

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Smile, be Happy :) Emoji Embedding for Visual Sentiment Analysis


Jul 14, 2019
Ziad Al-Halah, Andrew Aitken, Wenzhe Shi, Jose Caballero


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Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks


Nov 16, 2017
Joost van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, Jose Caballero


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Fast Face-swap Using Convolutional Neural Networks


Jul 27, 2017
Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis


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Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize


Jul 10, 2017
Andrew Aitken, Christian Ledig, Lucas Theis, Jose Caballero, Zehan Wang, Wenzhe Shi


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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network


May 25, 2017
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi

* 19 pages, 15 figures, 2 tables, accepted for oral presentation at CVPR, main paper + some supplementary material 

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Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation


Apr 10, 2017
Jose Caballero, Christian Ledig, Andrew Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, Wenzhe Shi

* Changes: * Uploaded Vid4 results (footnote 1). * Added references [14, 29] as spatial-transformer prior art. * Fixed typos 

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Lossy Image Compression with Compressive Autoencoders


Mar 01, 2017
Lucas Theis, Wenzhe Shi, Andrew Cunningham, Ferenc Huszár


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Amortised MAP Inference for Image Super-resolution


Feb 21, 2017
Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár


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Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network


Sep 23, 2016
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang

* CVPR 2016 paper with updated affiliations and supplemental material, fixed typo in equation 4 

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Is the deconvolution layer the same as a convolutional layer?


Sep 22, 2016
Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew Aitken, Christian Ledig, Zehan Wang

* This is a note to share some additional insights for our the CVPR paper 

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